lumira - introduction

Lumira Introduction

© 2015 ABeam Consulting Ltd. Confidential

Contents

1. Lumira – Chart Type and Application

1-1. Brief Outline of Chart Type and Application

1-2. Analysis Type

1-3. Chart Summary

Appendix 1: Chart Examples

Appendix 2: About Geo Map Chart

Appendix 3: Demo – Geo Data Application and Chart Creation

2. Lumira – Dataset Combination

3. Lumira – Server Implementation

Appendix 4: Operations of Lumira’s BW Connection

1. Lumira – Chart Type and

Application


1-2. Analysis Type

1-3. Chart Summary

Appendix 1: Chart Examples

Appendix 2: About Geo Map Chart

Appendix 3: Demo – Geo Data Application and Map Chart Creation



Method of Creating Chart

Select a chart type from the lists in the chart picker (Visualize room), and then add measures and

dimensions to analysis axes as required according to the text reference in the shelves below.

Chart Category (Standard charts without extensions)

Bar/Column Chart, Line Chart, Pie Chart, Geo Bubble Chart, Scatter Plot, Heat Map, Crosstab,

Numeric Point, Box Plot

Analysis Type

• Comparison

• Percentage

• Correlation

• Trend

• Geographic


1-2. Analysis Type – Comparison (1/5)

Application: Compares differences between values or shows a simple comparison of categorical

divisions of measures

Application Example: By bar chart, sales comparison among branch offices can be achieved.

Main Charts Available:

• Bar Chart

• Column Chart

• Column Chart with 2 Y-Axes

• 3D Column Chart

• Marimekko Chart

• Radar Chart

• Area Chart

• Tag Cloud

• Heat Map

• Tree Map

• Table

• Cross Tab


1-2. Analysis Type – Percentage (2/5)

Application: Shows the percentage of parts in a whole or values as ratios to a whole. The legend

shows the percentage and the total values.

Application Example: use a pie chart to see which branch office had the highest sales as part of a

total sales value directly.

Total sales = $200M, Branch A had 10% ($20M), Branch B had 65% ($130M), and Branch C had

25% ($50M)


・ Pie Chart

・ Donut Chart

・ Pie with Depth Chart

・ Stacked Column Chart

・ Tree Map

・ Funnel Chart


1-2. Analysis Type – Correlation (3/5)

Application: Shows the relationship between values or compares multiple measure values.

Application Example: Use a bubble chart to view the correlation of two measures and understand

the impact of the first measure on the second measure which is time-dependent.


・ Scatter Plot

・ Scatter Matrix Chart

・ Bubble Chart

・ Network Chart

・ Numeric Point

・ Tree


1-2. Analysis Type – Trend (4/5)

Application: Shows a trend in the data values (especially for time-based dimensions such as fiscal

year, period, quarter) or the progression of your data and possible patterns.

Application Example: Use a line chart to view sales revenue trends of a product throughout a

range of years.


• Line Chart

• Line Chart with 2 Y-Axes

• Combined Column Line Chart

• Combined Column Line Chart with 2 Y-Axes

• Waterfall Chart

• Box Plot

• Parallel Coordinates


1-2. Analysis Type – Geographic (5/5)

Application: Shows a map of the country object used in the analysis and can optionally show data

for dimensions (sorted by the country on the map) or the geographical spread of data for a single

country in broad view.

Application Example: Use Geo Map to display sales by countries/districts/cities on the map

※Application prerequisite:

① The dataset you use must contain geographical data.

② Before creating a geographic chart, you must have an Esri ArcGis Online account.


• Geo Bubble Chart

• Geo Choropleth Chart

• Geo Pie Chart

• Geo Map


Chart Category Chart Type Name Comparison Percentage Trend Correlation Geographic E.g. (Appendix)

Bar/Column Charts

Bar Chart ○ E.g.1Column Chart ○ E.g.1Column Chart with 2 Y-Axes ○ E.g.2Bar Chart with 2 X-Axes ○ E.g.23D Column Chart ○ E.g.3Stacked Bar Chart ○ ○ E.g.4Stacked Column Chart ○ ○ E.g.4Marimekko Chart ○ ○ E.g.5

Map ChartsHeat Map ○ E.g.6Tree Map ○ E.g.7

TableCrosstab ○ E.g.8Table ○ E.g.9

Other Charts

Rader Chart ○ E.g.10Tag Cloud ○ E.g.11Funnel Chart ○ E.g.12Waterfall Chart ○ E.g.13Box Plot ○ E.g.14Parallel Coordinates ○ ○ E.g.15Network Chart ○ E.g.16Tree ○ E.g.17

Pie ChartsPie Chart ○ E.g.18Donut Chart ○ E.g.18Pie with Depth Chart ○ E.g.19

Line Charts

Area Chart ○ ○ E.g.20Line Chart ○ E.g.21Line Chart with 2 Y-Axes ○ E.g.21Combined Column Line ○ E.g.22Combined Column Line Chart with 2 Y-Axes ○ E.g.22

Scatter ChartsScatter Plot ○ E.g.23Bubble Chart ○ E.g.24Scatter Matrix Chart ○ E.g.25

Point Charts Numeric Point ○ E.g.26

GeographicCharts

Geo Bubble Chart ○ E.g.27Geo Choropleth Chart ○ E.g.28Geo Pie Chart ○ E.g.29Geo Map ○ E.g.30

1-3. Chart Summary

Appendix 1： Chart Examples


E.g.1. Bar Chart・Column Chart (Comparison)

Example for Bar Chart (Horizontal)

※If set as Column Chart, the display would be changed into vertical chart.


E.g.2. Bar Chart with 2 X-Axes・Column Chart with 2 Y-Axes (Comparison)

Examples for Bar Chart with 2 X-Axes (Horizontal)

※If set as Column Chart with 2 Y-Axed, the display would be changed into vertical chart.


E.g.3. 3D Column Chart (Comparison)

Example for 3D Column Chart (Left-up: Vertical, Right-down: Horizontal）


E.g.4. Stacked Bar/Column Chart (Percentage/Comparison)

Example for Stacked Bar Chart (left-up: normal Stacked, right-down：100% Stacked)

※The difference between Bar and Column only decides the horizontal or the vertical


E.g.5. Marimekko Chart (Percentage/Comparison)

Example for Marimekko Chart (left-up: normal Stacked, right-down: 100% Stacked ）

※Compare the contribution on multiple measure values by category;

Use row height and column width to depict a segment's value;

View absolute values or relative percentages using normal or 100% stacking mode.


E.g.6. Heat Map (Comparison)

Example for Heat Map

※Chart displays values that are represented by colors in a map using a category axis and optionally a

second category axis. The colors of the rectangles are determined by a measure value.


E.g.7. Tree Map (Comparison)

Example for Tree Map

※Another measure which determines the rectangle size is added compared to heat map. The size and

color of each rectangle stands for each segment’s different values.


E.g.8. Crosstab (Comparison)

Example for Crosstab Chart.

※1. Conditional formatting is available. (e.g. When GMR>0.50, filled with selected color）

※2. Subtotal is available. (e.g. Aggregate by category) Flexible multi-dimensional analysis is equipped.

※１

※２


E.g.9. Table (Comparison)

Examples for Table


E.g.10. Rader Chart (Comparison)

Example for Rader Chart

※The analysis values (Measure) basing on Multiple segment values (Dimension Value) are displayed,

hence can be used to compare segments according to the shape.

※Practical scenario case: Compare service lines’ performance to find out the strength & weekness.

※


E.g.11. Tag Cloud (Comparison)

Example for Tag Cloud

※The font size of word is determined by the analysis value (measure size). If the second measure

(color) is added, the color and font size stand for each’s analysis value volume.


E.g.12. Funnel Chart (Percentage/Trend)

Example for Funnel Chart

※Display and compare the performance of analysis object on each stages in a process or on different

categories.

※Practical Scenario Case: Process Check


E.g.13. Waterfall Chart（Trend）

Example for Waterfall Chart

※Display the increase/decrease of measure’s analysis value based on sequence dimension (E.g. Fiscal

year, or time.

※Practical Scenario Case: Storage In/Out Management


E.g.14. Box Plot（Trend)

Example for Box Plot

※The following plot values would be displayed for understanding about trend and distribution.

Minimum point, 1st quartile point, median point, 3rd quartile point, maximum point, outlier point


E.g.15. Parallel Coordinates Chart (Trend/Correlation)

Examples for Parallel Coordinates（Trend/Correlation)

※ It looks for lines between the axes (measure) that represent the values of different measures. The

closer to flat the lines are the more positive the relationship between the two dimensions.


E.g.16. Network Chart (Correlation)

Example for Network Chart

※Unrelated to the measure values, but only showing the relationship between two dimensions.

※Practical Scenario Case: The relationship between Service line and its product categories.


E.g.17. Tree (Correlation)

Examples for Tree

※Unrelated to the measure values, but only showing the parental relationship between two dimensions.

※Practical Scenario Case: The relationship between Service line and its product categories.


E.g.18. Pie Chart & Donut Chart (Percentage)

Examples for Pie Chart (left-up: Pie, right-down: Donut）


E.g.19. Pie with Depth Chart (Percentage)

Example for Pie with Depth Chart


E.g.20. Area Chart (Comparison/Percentage)

Example for Area Chart (left-up: Normal Stacked, right-down: 100% Stacked)

※Showing how each dimension (e.g. time series) influences the analytical values, and showing the

impact of each measure result on the total result.


E.g.21. Line Chart & Line Chart with 2 Y-Axes（Trend）

Example for Line Chart (left-up: normal line chart, right-down: Line Chart with 2 Y-axes）


E.g.22. Combined Column Line Chart & Combined Column Line Chart with 2 Y-Axes (Trend)

Examples for Combined Column Line Chart (left-up: Combined Column Line Chart , right-down:

Combined Column Line Chart with 2 Y-Axes ）


E.g.23. Scatter Plot (Correlation)

Example for Scatter Plot

※Correlation between Issue number and sales revenue

Animation is available to be added


E.g.24. Bubble Chart (Correlation)

Example for Bubble Chart

※One more measure is added compared to the Scatter Plot in previous slide. The position on X-axe

and Y-axe, and the bubble size reflect each measure’s value accordingly.



E.g.25. Scatter Matrix Chart (Correlation)

Example for Scatter Matrix Chart

※Among multiple variant (measure), showing the correlation between each two of them.

Chart number: n*(n-1), n stands for number of measure.


E.g.26. Numeric Point (Correlation)

Example for Numeric Point

※Simply the aggregated total value or calculated value on one measure is displayed.


E.g.27. Geo Bubble Chart (Geographic)

Example for Geo Bubble Chart

※Prerequisite ：Create Geographic hierarchy (e.g. Country/City) from dataset.

(Details to be referred in Appendix(2))



E.g.28. Geo Choropleth Chart (Geographic)

Example for Geo Choropleth Chart


（Details to be referred in Appendix(2)）


E.g.29. Geo Pie Chart (Geographic)

Example for Geo Pie Chart


（Details to be referred in Appendix(2)）


E.g.30. Geo Map (Geographic)

Example for Geo Map (Geographic) (left-up: by country , right-down: by city (Japan))

※Prerequisite ：Create Geographic hierarchy from dataset; Apply Esri ArcGIS account.

（Details to be referred in Appendix2）

Add/Change Layer

Change Display type

Appendix 2: About Geo Map


Geo Data Creation & Geo Map Application

Foundation：Lumira＋Esri Implementation

• Lumira provides database (NAVTEQ) to identify and map geographic data.

• Esri provides the map info for displaying. (Esri account necessary)

Methods of Geo Data Creation

• By Name：Map with geo data on NAVTEQ by name

• By Latitude/Longitude：Directly display the location on Esri Map

Limitations

• The geo data can only be assigned to levels at ‘Country/District/Sub District/City/Other’

• When creating geographic hierarchy from geo data in dataset:

→ By Name: Not all language is applicable (e.g.: Japanese N/A); Area with fewer population than100 thousand is unable to be identified.

→ By Latitude/Longitude: Latitude/Longitude data should be prepared by each target area.

Map Customizing

• If required to display the map info in a customized way instead of a default way (standard EsriMap), making use of Esri Online to customize the map is possible.


Methods of Geo Data Creation: By Name

Prerequisite:

①Geo data (e.g.: city name) is in identifiable language (e.g.: English)

②The target area (e.g. city) exists on NAVTEQ database (With a population larger than 100,000)

Mapping result


Methods of Geo Data Creation: By Latitude/Longitude

Prerequisite:

Latitude/Longitude data is equipped for the target area level.


Chart Example Based on Latitude/Longitude

For specific locating such as branch offices in one city, latitude/longitude is

necessary


Map Customizing

Lumira provides an option of ‘Esri Custom Service’ to display the map info in a customized way.

• Map is customized and connected by ‘My content’ on Esri Online Website. (Already existed

resource on website is available to be applied)

• Customized map can be customized and applied by a whole organization registered on Esri Online.

• Example: Specify one area; Add emphasizing color to one area; Add fixed marker in one area, etc.

※Before

※After

Appendix 3: Demo – Geo Data Application and Chart Creation


Demo Target

Share the methods of geo data application in Lumira

Explain the reproduction of the following reference Map Chart

48


Steps of Applying Geo Data – Outline

The steps of applying geo data in Lumira is as follows:

49

Preparation of Geo Data

1. Input (prepare) the Latitude/Longitude data

Pre-setting of Lumira

1. Set Esri Account

2. Confirm the proxy settings

Chart Creation

1. Add data

2. Select Geo Map

3. Create geographic hierarchy (1/2)– Sales Area

4. Create geographic hierarchy (2/2)– Service Center

5. Map the sales Area

6. Map service center


Preparation of Geo Data – Input Latitude/Longitude data

Prepare and input the Latitude/Longitude data of both District and service center (Brand Name).

※The data is filtered by district for demo

50

Add latitude/longitude for each

district.

Add latitude/longitude for each service

center (Brand Name).※For the demo, it is supposed that there is only one

branch store for the service center of each brand in

each district.


Pre-setting of Lumira – Set Esri Account

It is necessary to be applied external data (Esri Map) in order to display detailed map info.

※Input Esri account in the ‘Preference->Geo Map Service’ in Lumira

By the URL provided by Lumira, access the esri website and create a account in advance.

※Restrction: Free Trial version available for 60 days.

51

If prepared Esri account is not

available, click on the URL to

create one.

If already owned an Esri account, select the

check box, and input user name & password

below.


Pre-setting of Lumira – Confirm the proxy settings

Applying geo data requires download of map info from Esri website, hence it is necessary to

confirm proxy settings by ‘Preference -> Network’ in Lumira.

52

In the case of ABeam network, no proxy

should be selected.


Chart Creation – Add Data

Create a new dataset and report by using the prepared data file.

※Excel file is applied as data source for the demo.

53

Select Microsoft Excel as

dataset (data source) to be

added.

Select the prepared file.


Chart Creation – Select Geo Map

After the data is added and read, select Geo Map as the target chart type.

54

Select ‘Geo Map’

The map info is downloaded from

Esri database.


Chart Creation – Create Geo Hierarchy (1/2)

Map the latitude/longitude data as geographic hierarchy into sales area (districts).

55

①From the gear (option button) of

‘District EN’, select ‘Create

Geographic hierarchy By

Latitude/Longitude’

② Select the column name of

latitude and longitude of the data file

as associated coordinates

③ Select the lowest grade ‘City’ as

geographic level.

④By assigning target

dimension with

latitude/longitude as city

level, the upper level

‘Country/District/Sub

district’ are automatically

assigned and created.


Chart Creation – Create Geo Hierarchy (2/2)

Map the latitude/longitude data as geographic hierarchy into service center (brand name).

56

①From the gear (option button) of

‘District EN’, select ‘Create

Geographic hierarchy By

Latitude/Longitude’

② Select the column name of

latitude and longitude of the data file

as associated coordinates

③ Select the lowest grade ‘City’ as

geographic level.

④By appointing target

dimension with

latitude/longitude as city

level, the above

‘Country/District/Sub

district’ are

automatically assigned

and generated.


Chart Creation – Map the Sales Area

Select ‘Bubble’ as data point type which will be displayed on the map,

and add appropriate dimension/measure into ‘Geo Dimension’, ‘Size’ and ‘Color’.

57

Data point type: Bubble

Geo Dimension: District_En_LongLat

Size: Register Unit 2015

Color: Brand Name Eng


Chart Creation – Map the Service Center

Add another layer to display the service center on the same map.

Select ‘Marker’ as data point type, and add appropriate dimension into ‘Geo Dimension’.

58

Data Point Type: Marker

Geo Dimension: Brand Name Eng_LongLat

Add layer


Feature of Sample Map Chart & Lumira Map Chart

The feature of sample Map Chart and Lumira map chart (demo) is as follows.

59

1. Balloon size stands for the district sales

2. Balloon color depends on the service center with

most sales.

3. Service Center Icon is pined on the map by brand

logo.

1. Balloon size stands for the district sales

2. Sales of each service center is displayed from

the center of concentric circle by ascending sales

order

3. Service Center Icon is pined on the map by mark

with brand name


Individual Q&A

Several individual Q&As are as follows

60

No. Question Assess Answer

1 Is it possible to provide option to show or hide all balloons?

○ Check or uncheck the responding layer level

2 Is the following implementation possible?①Show data of specific province and year. ②Balloon size depends sales volume③Balloon color depends on brand with most

sales

○ ①Possible by filtering②Possible③Alternative: Sales of brand is displayed from the Pie center as a concentric circle by ascending sales order

3 Is it possible to show the location in Thailand map of showing province as a sub map?

△ Alternative: By changing map scale, it’s possible to know its location in broader level

4 Is it able to filter by Year, province according to authorization?

○ Possible.But authorization is achieved in DWH.

5 Is it able to completely print out? × Direct print out isn’t possible. (Via PDF save)

6 Is it able to show each brand’s logo in service center location?

× No.Alternative: Show in marker with brand name

7 Is it able to display another tabular to show/compare sales without other (customer district ≠ sale district) and sales with other data

○ Another tabular is not possible, but comparison can be achieved by adding a flag accordingly in the dataset, mapping and composing or other operations

8 Is it able to display province name? △ Unable to show province name in header.Alternative: show name in map or filter.


Appendix – Data Point Type: Choropleth

Choropleth is for displaying map chart like heat map or displaying total sales of each district/sub

district.

61

2. Lumira – Dataset Combination

2-1. Merging Datasets

2-2. Appending Datasets

2-3. Applicable Objects

2-4. Application Example – Merge


2-1. Merging Datasets

By matching the key column of the 2nd dataset (Merging dataset) with columns of the 1st dataset (Original dataset), if compatible, the 2nd dataset would be added to the 1st dataset

Branch Sales Cost

Tokyo 100 80

Osaka 200 150

Kyoto 150 120

Branch Latitude Longitude

Tokyo 33 168

Osaka 32 162

Branch Sales Cost Latitude Longitude

Tokyo 100 80 33 168

Osaka 200 150 32 162

Branch Sales Cost Latitude Longitude

Tokyo 100 80 33 168

Osaka 200 150 32 162

Kyoto 150 120

■Original Dataset ■Merging dataset

■Inner Join■Left Outer Join

①The merging dataset must have a key column②Only columns with the same data type can be merged.

Columns in the second dataset are added to the original dataset (Columns increased)


2-2. Appending Datasets

The 2nd dataset(Appending dataset) is appended onto the 1st dataset original dataset basing on compatible columns.

Compatible data types (columns) exist between the two datasets.※Only columns with compatible data type can be appended to the original dataset.

The two datasets are combined vertically. (Rows increased)The combined dataset retains the column names of the original dataset.

Branch Sales Cost Quantity

Tokyo 100 80 8

Osaka 200 150 12

Branch Sales Cost

Kyoto 100 80

Branch Sales Cost Quantity

Tokyo 100 80 8

Osaka 200 150 12

Kyoto 100 80

■Original Dataset ■Merging dataset

Prerequisite

Result


2-3. Applicable Objects

Dataset①Dataset②

Excel Query Info-Provider

Excel ○ ○ ○

Query ○ ○ ○

Info-Provider ○ ○ ○

Any two datasets out of Excel, Query, Info Provider, are applicable to be combined by merging or appending as a pair.※Current version: Lumira 1.27 SP1

※ ○: Applicable × : N/A

Application Example (Merge)：※Operation steps for the example are explained from next slide.

Geo data (Lat/Long) from Excel file.

Dataset with geo data available for geo map chart creation

Year Branch Sales Cost

Branch Lat Long

Data from BW (Query/Info-Provider)

Year Branch Lat Long Sales Cost


2-4. Application Example – Merge (1/2)

1. Add a new dataset of transaction data from BW Info Provider to create a Lumira

document.

2. Select the ‘Merge’ below combine button.

※Adding another new dataset first and afterwards selecting ‘Merge’ also works.

3. Add a dataset with geo data from excel to be merged with dataset above.


2-4. Application Example – Merge (2/2)

4. After adding the Excel dataset to be merged, select target key column(‘Branch’ /‘支

社’) to match the two datasets.

5. If compatible, the datasets will be merged according to matched key column.

3. Lumira –Server Implementation

3-1. Feature of Lumira Server

3-2. Example: Applying Lumira Server (for BI platform）

3-3. Limitation: Major bug on latest Lumira for BW connection


1-1. Feature of Lumira Server (1/2)

There are some differences between Lumira without server (Lumira Desktop) and Lumira with

Server.

# Major feature of Lumira Lumira Desktop Plus Lumira Server

1 Create report ○ ○

2Manage reports across team/ Publish and share reports

× ○

3 Save report ○ ○

4 Change dimensions ○ ○

※ ○: Applicable × : N/A


1-1. Feature of Lumira Server (2/2)

By applying Lumira server, reports created individually can be shared to others across one organization.

Figure: Image about the flow of creating report at Lumira Desktop, and sharing it by Lumira Server.

# Lumira Product name Product outline Application type UI

1 Lumira DesktopCreating a Lumira Report based on supported data source(ex. Excel, BW, etc.）

Stand alone Dedicated application

2 Lumira Server for BI platform

Publishing or sharing reports onto BusinessObjects server, and then displaying report by web browser.

On premise

Web browser

3 Lumira Server for SAP HANA

Publishing or sharing reports onto HANAserver, and then displaying report by web browser.

4 Lumira Cloud

Publishing or sharing Lumira reports onto Lumira cloud server. and then displaying report by web browser.

Cloud

Products of Lumira Family

Lumira desktop Lumira Server Web browser/Lumira desktopData source

BW Cube

Excel

Universe


1-2. Example: Applying Lumira Server (for BI platform）

BI Launchpad（A portal site managing Business Objects reports, such as Web Intelligence report,

Crystal Reports, Explorer, etc.) is available to be applied to manage Lumira reports like other BO

reports.

Select a Lumira reports from BI Launchpad Open a Lumira report in web browser

Refresh on server is not supported in current version, but would be enhanced in Q3 for next version. (URL for Reference)

http://scn.sap.com/community/lumira/blog/2015/06/23/whats-new-in-sap-lumira-127-summary


1-3. Limitation: Major bug on latest Lumira（BW connection)

Function has been enhanced for BW connection on the latest Lumira. (V1.27 at 23/7/15).

※ Dataset from BW can be edited and applied to all charts.

Limitation (bug) about applying dimension structure ( Restricted Key Value, Calculated Key Value, etc.)

remains on this version. Revision on next update in 2015.

note number 2186073 (Error: Data Acquisition is not supported for queries with non-key figure while retrieving BEx

Query in Lumira Desktop)

Thus, it is applicable for only applying info provide or query (without dimension structure) as dataset.

Extended!

Supported Data sources Not applicable for BEx query with dimension structure

Appendix 4： Operations of Lumira’s BW Connection


Operations for BW Connection – Start-up

Start-up Lumira, and select ‘New’ to create a new dataset.


Operations for BW Connection – Select BW as Data Source

In the following popup for adding new dataset, select ‘Download from SAP Business Warehouse’ as data source, and then click on ‘Next’.


Operations for BW Connection – Logon BW System

In the next popup screen, select the system to be connected, and fill in user information to logon the BW platform.


Operations for BW Connection – Select Target Dataset

Change the view into ‘InforAreas’, scroll down, and unfold the target InfoArea or InfoProvider accordingly. The following steps differ according to selecting InfoProvider or selecting Bex Query as dataset.

Select InfoProvider as Dataset

Select Bex Query as Dataset


Operations for BW Connection – InfoProvider as Dataset

If selected InfoProvider as dataset, the following popup would be directed to. Then Select target measures and dimensions to be displayed and applied in the Lumira dataset.

※Measure/Dimension name is not outputted in this example due to that the logon language is different from query language.


Operations for BW Connection – Bex Query as Dataset

If selected InfoProvider as dataset, the following left-up popup would firstly be directed to . Input/Select query variables, then select target dimensions/measures at the next popup which is the same with InfoProvider to generate the Lumira dataset.


Operations for BW Connection – Finished Adding BW Dataset

The following screen would be displayed which means the BW dataset is successfully added into Lumira. Edit the dataset and create charts according to necessity.

lumira - introduction

Documents

line chart line chart

chart examplesappendix

chart summaryappendix

depth chart

extensionsbarcolumn

chart creation2

chart picker

lumira chart type